Triple

T10703081
Position Surface form Disambiguated ID Type / Status
Subject Theophania E252326 entity
Predicate hasEnglishCognate P51524 FINISHED
Object Tiffany E51374 NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tiffany | Statement: [Theophania, hasEnglishCognate, Tiffany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiffany
Context triple: [Theophania, hasEnglishCognate, Tiffany]
  • A. Tiffany
    Tiffany is a murderous doll and central villain in the Child's Play/Chucky horror film series, known for her gothic style, dark humor, and twisted romance with Chucky.
  • B. Tiffany chosen
    Tiffany is a feminine given name of Greek origin, commonly associated with the feast of Epiphany and used in various English-speaking countries.
  • C. Tiffany & Co.
    Tiffany & Co. is a renowned American luxury jewelry and specialty retailer famous for its diamond engagement rings, sterling silver, and iconic blue boxes.
  • D. Tiffany Case
    Tiffany Case is a fictional diamond smuggler and Bond girl who appears as a major character in Ian Fleming’s James Bond story "Diamonds Are Forever."
  • E. Alexandra Strauss
    Alexandra Strauss is a literary editor known for her work shaping and refining the text of *The Tale*.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEnglishCognate
Context triple: [Theophania, hasEnglishCognate, Tiffany]
  • A. hasCognate
    Indicates that two linguistic forms in different languages share a common historical origin, typically descending from the same ancestral word.
  • B. cognateOf
    Indicates that two linguistic forms share a common historical origin, typically descending from the same ancestral word.
  • C. hasEnglishName
    Indicates that an entity is associated with a name expressed in the English language.
  • D. nameCognateOf chosen
    Indicates that two names share a common linguistic origin or form, typically due to derivation from the same root or historical source.
  • E. possibleCognateWith
    Indicates a relationship where one term is considered a potential cognate of another, suggesting they may share a common historical linguistic origin.
  • F. None of above.

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fddd28d481908abc5c1d4e5a9f3e completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbad110d9481908c3c0873424ec616 completed April 12, 2026, 2:32 p.m.
PD Predicate disambiguation batch_69d6dd8ea6408190a800f9cb57372189 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:12 p.m.